Triple
T36410850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percy Gibson |
E896874
|
entity |
| Predicate | marriagePartnerIsOlder |
P195327
|
FINISHED |
| Object | Joan Collins |
E259323
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joan Collins | Statement: [Percy Gibson, marriagePartnerIsOlder, Joan Collins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriagePartnerIsOlder Context triple: [Percy Gibson, marriagePartnerIsOlder, Joan Collins]
-
A.
ageAtMarriage
Indicates the age a person was when they got married.
-
B.
marriageBefore
Indicates that one marriage event occurred earlier in time than another marriage event.
-
C.
isUsuallyMarriedTo
Indicates that one entity is typically or customarily married to another entity under normal or common circumstances.
-
D.
marriesFor
Indicates that one entity enters into marriage with another entity specifically for a particular reason, motive, or benefit.
-
E.
partnerInMarriageDuring
Indicates that two entities are spouses of each other during a specified time period.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e1608c1808190a7b7b658e50003db |
completed | June 26, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_69fdbaa1313081908beea28a5597ae40 |
completed | May 8, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:10 p.m.